Update README.md

README.md

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 # Universal NER for Italian (Zero-Shot)
+It's important to note that **this model is universal and operates across all domains**. However, if you are seeking performance metrics close to a 90/99% F1 score for a specific domain, you are encouraged to reach out via email to Michele Montebovi at [email protected]. This direct contact allows for the possibility of customizing the model to achieve enhanced performance tailored to your unique entity recognition requirements in the Italian language.
 
 # Try here: [https://huggingface.co/spaces/DeepMount00/universal_ner_ita](https://huggingface.co/spaces/DeepMount00/universal_ner_ita)
 
@@ -19,8 +20,6 @@ This model is designed for Named Entity Recognition (NER) tasks, specifically ta
 ## Try It Out
 You can test the model directly in your browser through the following Hugging Face Spaces link: [https://huggingface.co/spaces/DeepMount00/universal_ner_ita](https://huggingface.co/spaces/DeepMount00/universal_ner_ita).
 
-It's important to note that **this model is universal and operates across all domains**. However, if you are seeking performance metrics close to a 90/99% F1 score for a specific domain, you are encouraged to reach out via email to Michele Montebovi at [email protected]. This direct contact allows for the possibility of customizing the model to achieve enhanced performance tailored to your unique entity recognition requirements in the Italian language.
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 # Installation
 To use this model, you must download the GLiNER project: